Discovery of Ill-Known Motifs in Time Series Data

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ISBN 13 : 9783662642160
Total Pages : 0 pages
Book Rating : 4.66/5 ( download)

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Book Synopsis Discovery of Ill-Known Motifs in Time Series Data by : Sahar Deppe

Download or read book Discovery of Ill-Known Motifs in Time Series Data written by Sahar Deppe and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes a novel motif discovery for time series, KITE (ill-Known motIf discovery in Time sEries data), to identify ill-known motifs transformed by affine mappings such as translation, uniform scaling, reflection, stretch, and squeeze mappings. Additionally, such motifs may be covered with noise or have variable lengths. Besides KITE's contribution to motif discovery, new avenues for the signal and image processing domains are explored and created. The core of KITE is an invariant representation method called Analytic Complex Quad Tree Wavelet Packet transform (ACQTWP). This wavelet transform applies to motif discovery as well as to several signal and image processing tasks. The efficiency of KITE is demonstrated with data sets from various domains and compared with state-of-the-art algorithms, where KITE yields the best outcomes. The Author Sahar Deppe studied Electrical Engineering and Information Technology at Halmstad University (Halmstad, Sweden) and the OWL University of Applied Sciences and Arts (Lemgo, Germany), where she received her Master degree. From 2013 to 2020 she was employed at the Institute Industrial IT (inIT) as a research associate and during this time she completed her doctorate (Dr. rer. nat.) in cooperative graduation with Paderborn University. Since 2020 she is employed at the Fraunhofer Institute IOSB-INA as a research associate with project management responsibilities. In her dissertation, she proposed a novel method to detect motifs in time series data based on mathematical theories suited to represent and handle ill-known motifs such as invariant theory and theories in signal processing such as wavelet theory. Her research interests include but are not limited to the area of motif discovery and time series analysis, pattern recognition, and machine learning. She has published and presented her research at numerous conferences and journals such as IEEE, IARIA, PESARO where she got the best paper award for her research in motif discovery in image data.

Discovery of Ill–Known Motifs in Time Series Data

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Publisher : Springer Nature
ISBN 13 : 3662642158
Total Pages : 205 pages
Book Rating : 4.53/5 ( download)

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Book Synopsis Discovery of Ill–Known Motifs in Time Series Data by : Sahar Deppe

Download or read book Discovery of Ill–Known Motifs in Time Series Data written by Sahar Deppe and published by Springer Nature. This book was released on 2021-10-01 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes a novel motif discovery for time series, KITE (ill-Known motIf discovery in Time sEries data), to identify ill-known motifs transformed by affine mappings such as translation, uniform scaling, reflection, stretch, and squeeze mappings. Additionally, such motifs may be covered with noise or have variable lengths. Besides KITE’s contribution to motif discovery, new avenues for the signal and image processing domains are explored and created. The core of KITE is an invariant representation method called Analytic Complex Quad Tree Wavelet Packet transform (ACQTWP). This wavelet transform applies to motif discovery as well as to several signal and image processing tasks. The efficiency of KITE is demonstrated with data sets from various domains and compared with state-of-the-art algorithms, where KITE yields the best outcomes.

Conversational Informatics

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Publisher : Springer
ISBN 13 : 4431550402
Total Pages : 354 pages
Book Rating : 4.02/5 ( download)

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Book Synopsis Conversational Informatics by : Toyoaki Nishida

Download or read book Conversational Informatics written by Toyoaki Nishida and published by Springer. This book was released on 2014-07-08 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers an approach to conversational informatics which encompasses science and technology for understanding and augmenting conversation in the network age. A major challenge in engineering is to develop a technology for conveying not just messages but also underlying wisdom. Relevant theories and practices in cognitive linguistics and communication science, as well as techniques developed in computational linguistics and artificial intelligence, are discussed.

Advances in Machine Learning and Data Mining for Astronomy

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Publisher : CRC Press
ISBN 13 : 1439841748
Total Pages : 744 pages
Book Rating : 4.47/5 ( download)

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Book Synopsis Advances in Machine Learning and Data Mining for Astronomy by : Michael J. Way

Download or read book Advances in Machine Learning and Data Mining for Astronomy written by Michael J. Way and published by CRC Press. This book was released on 2012-03-29 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines

Advances in Knowledge Discovery and Data Mining

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Publisher : Springer
ISBN 13 : 3540319352
Total Pages : 864 pages
Book Rating : 4.51/5 ( download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : Tu Bao Ho

Download or read book Advances in Knowledge Discovery and Data Mining written by Tu Bao Ho and published by Springer. This book was released on 2005-05-13 with total page 864 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the area of data mining and knowledge discovery. It provides an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition and automatic scientific discovery, data visualization, causality induction, and knowledge-based systems. This year’s conference (PAKDD 2005) was the ninth of the PAKDD series, and carried the tradition in providing high-quality technical programs to facilitate research in knowledge discovery and data mining. It was held in Hanoi, Vietnam at the Melia Hotel, 18–20 May 2005. We are pleased to provide some statistics about PAKDD 2005. This year we received 327 submissions (a 37% increase over PAKDD 2004), which is the highest number of submissions since the first PAKDD in 1997) from 28 countries/regions: Australia (33), Austria (1), Belgium (2), Canada (11), China (91), Switzerland (2), France (9), Finland (1), Germany (5), Hong Kong (11), Indonesia (1), India (2), Italy (2), Japan (21), Korea (51), Malaysia (1), Macau (1), New Zealand (3), Poland (4), Pakistan (1), Portugal (3), Singapore (12), Taiwan (19), Thailand (7), Tunisia (2), UK (5), USA (31), and Vietnam (9). The submitted papers went through a rigorous reviewing process. Each submission was reviewed by at least two reviewers, and most of them by three or four reviewers.

Proceedings 2004 VLDB Conference

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Publisher : Elsevier
ISBN 13 : 0080539793
Total Pages : 1050 pages
Book Rating : 4.99/5 ( download)

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Book Synopsis Proceedings 2004 VLDB Conference by : VLDB

Download or read book Proceedings 2004 VLDB Conference written by VLDB and published by Elsevier. This book was released on 2004-10-08 with total page 1050 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 30th Annual International Conference on Very Large Data Bases held in Toronto, Canada on August 31 - September 3 2004. Organized by the VLDB Endowment, VLDB is the premier international conference on database technology.

Advances in Data Mining - Theoretical Aspects and Applications

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Publisher : Springer
ISBN 13 : 354073435X
Total Pages : 356 pages
Book Rating : 4.52/5 ( download)

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Book Synopsis Advances in Data Mining - Theoretical Aspects and Applications by : Petra Perner

Download or read book Advances in Data Mining - Theoretical Aspects and Applications written by Petra Perner and published by Springer. This book was released on 2007-08-18 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers in this volume represent the proceedings of the 7th Industrial Conference on Data Mining. They are organized into topical sections on aspects of classification and prediction, clustering, web mining, data mining in medicine, applications of data mining, time series and frequent pattern mining, and association rule mining. Readers gain new insights into theories underlying data mining and discover state-of-the-technology applications.

Advances in Data Analysis, Data Handling and Business Intelligence

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Publisher : Springer Science & Business Media
ISBN 13 : 364201044X
Total Pages : 767 pages
Book Rating : 4.46/5 ( download)

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Book Synopsis Advances in Data Analysis, Data Handling and Business Intelligence by : Andreas Fink

Download or read book Advances in Data Analysis, Data Handling and Business Intelligence written by Andreas Fink and published by Springer Science & Business Media. This book was released on 2009-10-14 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of computer science, artificial intelligence, mathematics, and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as in marketing, finance, economics, engineering, linguistics, archaeology, musicology, medical science, and biology. This volume contains the revised versions of selected papers presented during the 32nd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation, GfKl). The conference, which was organized in cooperation with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), was hosted by Helmut-Schmidt-University, Hamburg, Germany, in July 2008.

Intelligent Systems and Networks

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Publisher : Springer Nature
ISBN 13 : 9811933944
Total Pages : 700 pages
Book Rating : 4.43/5 ( download)

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Book Synopsis Intelligent Systems and Networks by : Ngoc Le Anh

Download or read book Intelligent Systems and Networks written by Ngoc Le Anh and published by Springer Nature. This book was released on 2022-07-19 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents Proceedings of the International Conference on Intelligent Systems and Networks (ICISN 2022), held at Hanoi in Vietnam. It includes peer reviewed high quality articles on Intelligent System and Networks. It brings together professionals and researchers in the area and presents a platform for exchange of ideas and to foster future collaboration. The topics covered in this book include- Foundations of Computer Science; Computational Intelligence Language and speech processing; Software Engineering Software development methods; Wireless Communications Signal Processing for Communications; Electronics track IoT and Sensor Systems Embedded Systems; etc. ​

Hybrid Soft Computing Approaches

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Publisher : Springer
ISBN 13 : 8132225449
Total Pages : 457 pages
Book Rating : 4.47/5 ( download)

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Book Synopsis Hybrid Soft Computing Approaches by : Siddhartha Bhattacharyya

Download or read book Hybrid Soft Computing Approaches written by Siddhartha Bhattacharyya and published by Springer. This book was released on 2015-08-21 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a platform for dealing with the flaws and failings of the soft computing paradigm through different manifestations. The different chapters highlight the necessity of the hybrid soft computing methodology in general with emphasis on several application perspectives in particular. Typical examples include (a) Study of Economic Load Dispatch by Various Hybrid Optimization Techniques, (b) An Application of Color Magnetic Resonance Brain Image Segmentation by Para Optimus LG Activation Function, (c) Hybrid Rough-PSO Approach in Remote Sensing Imagery Analysis, (d) A Study and Analysis of Hybrid Intelligent Techniques for Breast Cancer Detection using Breast Thermograms, and (e) Hybridization of 2D-3D Images for Human Face Recognition. The elaborate findings of the chapters enhance the exhibition of the hybrid soft computing paradigm in the field of intelligent computing.